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Best way to answer this question is by figuring out the probability of a phone number not containing the number 7. There are 9 other numbers that are not a 7, so odds of each digit not being a 7 is 90%. For a 7-digit number, calculation would be 0.9*0.9*0.9*0.9*0.9*0.9*0.9 or 0.9^7. This equals 47.8%, which means the odds of a phone number containing at least one 7 is 100% - 47.8%, which is 52.2%. But phone numbers do not begin with 0 or 1, so if we account for that, the odds of the first digit not being a 7 is 7/8, not 9/10. We replace the first 0.9 with 0.875, and the result is 53.5%. There are other scenarios we can take out, like numbers that begin with 555, but I'll just leave it at that.
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What is the probability of guessing the last digit of a phone number?
Oh, dude, the probability of guessing the last digit of a phone number is 1 in 10, because there are 10 possible digits (0-9). So, like, if you randomly guess, you have a 10% chance of getting it right. But hey, don't stress about it too much, it's just a phone number!
A complete probability distribution is always an objective listing of all possible events Since it is impossible to list all the possible outcomes from a single event probability distributions are o?
Your question is not clear, but I will attempt to interpret it as best I can. When you first learn about probability, you are taught to list out the possible outcomes. If all outcomes are equally probable, then the probability is easy to calculate. Probability distributions are functions which provide probabilities of events or outcomes. A probability distribution may be discrete or continuous. The range of both must cover all possible outcomes. In the discrete distribution, the sum of probabilities must add to 1 and in the continuous distribtion, the area under the curve must sum to 1. In both the discrete and continuous distributions, a range (or domain) can be described without a listing of all possible outcomes. For example, the domain of the normal distribution (a continuous distribution is minus infinity to positive infinity. The domain for the Poisson distribution (a discrete distribution) is 0 to infinity. You will learn in math that certain series can have infinite number of terms, yet have finite results. Thus, a probability distribution can have an infinite number of events and sum to 1. For a continuous distribution, the probability of an event are stated as a range, for example, the probability of a phone call is between 4 to 10 minutes is 10% or probability of a phone call greater than 10 minutes is 60%, rather than as a single event.
How many digits does a phone number have?
The number of digits in a phone number depends on the county of the number itself. For instance, in the United States, there are typically 10 digits for a number, whether it has an area code or is toll free.
Roles of Probability in different fields of life?
When your driving and you have tow routes you can take, one with red lights that shorter, and one without red lights and is longer. You try and figure out the probability that you will hit the lightes all green and make it sooner, or go the long way and not chance it. Also the chance that you'll be in a meeting and your phone will ring, so do you turn the ringer off or chance it.,,,,,,,,,,,,,,,,Ammar Qasim
Is phone number a qualitative data or quantitative data?
The two basic divisions of data are qualitative or categorical data and quantitative or numeric data. Just because you have a number, doesn't necessarily make it quantitative. For example, zip codes, phone numbers and bank-accounts are numeric, but it doesn't make much sense to find the average phone number or median zip-code. These are examples of numbers applied to categorical data.
